\chapter*{Abstract}
\addcontentsline{toc}{chapter}{\MakeUppercase{Abstract}}
In the area of optimization problems with many objectives, the Pareto dominance relationships may not be enough to find solutions that provide a good balance between different goals. By observing this behavior \cite{coellolopezmany2009, conf/gecco/CorneK07}, new techniques have been proposed for finding good solutions as alternatives to the relationship Pareto.\\
While the behavior of these techniques has been studied and the results analyzed in several multiobjective optimization techniques, such as NSGAII, SPEA and VEGA, the Artificial Immune Systems remain a mystery in this new frontier of problems formed by the optimization problems with many objectives.\\
Becomes the objective of this proposal to study this behavior through the use of two alternative techniques Pareto relations: the Expansion Area Dominance, proposed by Sato in \cite{sato2007} and MR and AR proposed by Bentley \& Wakefield \cite{bentley1997finding}.\\
In this proposal, we will explain the techniques proposed as alternatives to the relations of Pareto and Artificial Immune Systems. We will also present a major survey of related work in the area, some of the experiments and metrics that will be used to evaluate the algorithms and results respectively and finally the preliminary conclusions on the work.
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